Instructions to use michelleli99/test_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michelleli99/test_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="michelleli99/test_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("michelleli99/test_classifier") model = AutoModelForSequenceClassification.from_pretrained("michelleli99/test_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e631898a370b1bfaeec77cae63af353c7021a5e1645b3c9b28b16ff9c0322b12
- Size of remote file:
- 3.38 kB
- SHA256:
- f038225c495f4112480f18032a0b8fcaa84fbabb89634cfdb80161e78339a250
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